Published Paper Details:

The eyes are the primary sensory organ of an individual, and a mere look around us is enough to comprehend the significance of the vision. Individuals who are visually impaired face the daunting challenge of dealing with blindness, which can create a range of difficulties in their daily lives. Blind people often encounter struggles in performing even the simplest of tasks without the help of those who can see. This creates a sense of helplessness and inadequacy, causing them to feel like a burden to their loved ones. In addition, they face difficulty in recognizing and avoiding objects, making daily activities even more challenging. Our project's objective is to aid individuals with visual impairments in their daily activities, including navigation and object identification. This is achieved through the implementation of a voice-enabled system which is built using a Raspberry Pi 3B+ microcontroller, ultrasonic sensor (HC-SR04), voice module (APR33A3), and a Bluetooth speaker that guides visually challenged individuals in their day-to-day tasks, such as detecting obstacles and recognizing objects. The device incorporates the COCO dataset and TensorFlow Lite model for object recognition.Sensors and the microcontroller-based automated intelligent ghee-making unit will greatly add technology to the individual kitchen. The proposed unit will increase the quality of ghee prepared and ensure uniform ghee. It is also cost-effective so that units can be greatly accepted by individual kitchens, especially in India. The proposed Electric vehicle control system is implemented on a prototype tricycle chassis. Overall, the paper proposes a cost- effective motor drive control system for electric vehicles, with closed-loop PWM control and an electronic differential control loop. It offers efficiency, reliability, and a smooth driving experience, making it an ideal solution for sustainable transportation and a significant contribution to the field.